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BREAKING: MiniMax H3 by @MiniMax_AI is 1st across 3 Video categories (Multi-Image to Video, Image to Video, and Video Editing) on Design Arena. MiniMax H3’s performance in Video Arena puts it ahead of other top performing models like Seedance 2.0 by @BytePlusGlobal, Grok Imagine Video 1.5 Preview by @SpaceXAI, and Gemini Omni Flash by @GoogleDeepMind. This marks another category to be led by open-weight models, following Kimi K3’s first place in our coding categories. Congratulations to the @MiniMax_AI team for establishing a new SOTA in video generation!

7 days of unlimited Seedance 2.5 on Higgsfield. The most realistic and production-ready video model. Now we offer generations at ZERO credit cost for 7 DAYS. Up to 50 references, 30 seconds of perfect continuity, realism in physics,  advanced VFX/SFX, and SOTA video-to-video editing. 7-day unlimited access starts on August 7.

Dreamina Seedance 2.5 is now live! From creators to enterprises, a new era of AI video creation begins. Try Seedance 2.5 on Dreamina today. Enterprise API access via BytePlus is coming soon. Create longer videos with greater control: - Native 30-second generation - Precise video editing - Support for up to 50 multimodal references - Multilingual video generation More consistency. More control. More possibilities.

My view of: Fable 5 vs GPT-5.6-Sol. They are not easy models to compare, these are my vibes - take them as you will. My overall feel is that Fable is a 'wise owl' who is very thoughtful and very well spoken, GPT-5.6-Sol is like a rottweiler who will grab the problem by the throat and not let go until it is done. In other words, Fable, is a fundamentally smarter model - even at low reasoning it can be very insightful and writes in a clear compelling way. GPT-5.6-Sol on the other hand is extremely diligent, I can give it a list of 8 things to do and you will be sure that they will be done. Fable feels more arrogant to me, I was both to get it to build a new benchmark for me - 5.6 worked between 6 hours and 2 days (I tried several times) and it came up with very thoroughly tested, working benchmark. Fable came back within 40 minutes (twice) and the benchmark sounded smart, but was ultimately was 'vibe' based slop and since it was Fable's vibes that was doing the judging, it decided that it was good to go (it kept giving Fable 100% score btw). Some thoughts by category: UI & App building: Fable will still craft a better UI from scratch, the flow of the app would probably be a bit nicer. But I find that Fable often misses quite key things, which GPT-5.6-Sol doesn't. GPT's Frontend skills are big jump vs previous GPT models, but still not as great overall. Writing: Fable is better hands down, Sol feels quite difficult to align to what I want to say or explain things to me simply. Though I think the 'Pro' model writes clearer. Robustness & Reliability: This is where I think GPT-5.6-Sol wins for me hands down. Fable seems to do things of high quality, but I can never relax with it, it always misses something. With 5.6 this just almost never happens. Other things where I liked GPT-5.6-Sol, but can't compare to Fable directly. - Video editing is actually working now, it is not completely perfect, but with the right skill/guidance you can just give it 1h footage and it can give you a 5 min highlight clip no problem - Computer use - getting really rather good, very usable - Sub agents - it is very fluent at managing sub-agents and speaking to different threads, can help with some new workflows - Adhering to existing code patterns - I love this, even without asking it would implement something in a way that aligns with you app - major problem for slop generation - Research - I think it is getting quite a bit better, it still has some bad patterns (e.g being too tactical), but it feels like it is more steerable to be a good researcher - Multi-day runs - the /goal feature is pretty insane with 5.6-Sol, you can run it for days if you wanted to and it does work. Useful to have another thread or /side to check up on it, but I have some great results with it - Token efficiency - it is so much more token efficient and faster than 5.5, in reality it is now much faster than Fable too On the downside, you can feel that Fable is naturally smarter, and I did have some baffling moments with 5.6 when I was getting it to make a fairly simple change in 8 turns - it seemed to get stuck in a dumb stream that was hard to get out of. So it is not AGI, don't get too carried away by the hype. I have some phenomenal examples that I'm honestly blown away by that I'll share, but as a side anecdote, I have a kind of 'swear meter' which counts how often I'm rude to Codex. In GPT-5.5 era, the % was at around 4-5%, it dropped to 1-2% when I was testing GPT-5.6-Sol and it shot up to 7% when I went back to 5.5 - it was so shocking to go back to 5.5 and experience how much worse it was. So is GPT-5.6-Sol better than Fable? On pure intelligence - no. But man, I missed it when I just wanted to get sh*t done. It is insanely capable workhorse that you can give any task to and just expect it to be done. No lectures or 'you are absolutely rightisms', nothing is beneath it, if it takes 2 days to do some dirty work, it will do it. It feels like the first time in a while when we have quite different types of frontier intelligences that benchmark sort of similarly, but feel very different. If you can, you would be probably better off using both and iteratively finding what you'd use Fable or GPT-5.6-Sol for. Perhaps, something like - an architectural discussion with Fable, implementation with 5.6 and docs & comms with Fable.

Introducing Nano Banana 2 Lite 🍌 and Gemini Omni Flash 🔮, our new generative media models in the Gemini API and AI Studio! Nano Banana 2 Lite is extremely fast (<4s image) & cheap ($0.034 / 1K image). Omni Flash is SOTA at video editing at $0.10 / sec, same as Veo 3.1 Fast!

A Japanese YouTuber filmed a room tour of his Tokyo apartment for his subscribers. Minecraft on one monitor. Video editing software on another. A face-cam pointed at the desk. He has not opened the editing software himself in 10 months. A team of 7 AI agents builds every video on his channel. One agent watches what is going viral on Japanese YouTube every morning. One writes the script in his voice. One generates the gameplay footage. One edits to his exact pacing. One designs the thumbnail. One handles SEO and the description. One agent runs the other six. This is what Asia figured out before the rest of the world. You do not hire a video team. You build 7 small agents, each doing one job, and you wire them together. He uploads 4 long videos a week and a short every day. The room tour is the only time he actually sits at this desk. His channel makes 180,000 dollars a month from ad revenue and brand deals. His total operating cost is 70 dollars in API charges. The rest pays for the apartment you see in the background. On YouTube he was giving a humble room tour as a young creator. The actual production behind him is a 7 agent factory that has not needed him to push a button in 10 months.

「人間によるイラスト × 人間による音楽 x AI」 歌と映像で物語を紡ぐプロジェクト
Marimosty（まりもすてぃ） うやむや 02: ボーカル Voice: marimo Illustration: Mini Tadokoro (@minimilk) Music & Production: Hiroshi Sekita (@fireflower) Video Generation: Seedance 2.0 Video Editing: Wondershare Filmora 🎬YouTube link in the reply↓

SpaceXAI’s video editing precision is just insane Changing tiny details in a video with simple prompts used to feel impossible Now with Grok’s new video editor on API, you can upload your videos, change specific elements while keeping the rest of the scene intact A necklace, outfit, hat, color, background, style, movement - all editable with a simple prompt Grok Imagine is going to change how creators work, how brands produce content, and how the creative industry operates soon At cheaper, faster, and more scalable output than traditional creative workflows...